{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Multi-Species Multi-Reaction model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m25.0.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m25.1.1\u001b[0m\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install \"pybamm[plot,cite]\" -q    # install PyBaMM if it is not installed\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import pybamm"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model Equations\n",
    "\n",
    "Here we briefly outline the models used for the open-circuit potential, kinetics, and solid phase transport used in the MSMR model, as described in Baker and Verbrugge (2018). The remaining physics is modelled differently depending on which options are selected. By default, the rest of the battery model is as described in Maquis et al. (2019). In the following we give equations for a single electrode."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Thermodynamics\n",
    "The MSMR model is developed by assuming that all electrochemical reactions at the electrode/electrolyte interface in a lithium insertion cell can be expressed in the form \n",
    "$$ \\text{Li}^{+} + \\text{e}^{-} + \\text{H}_{j} \\rightleftharpoons  (\\text{Li--H})_{j}.$$\n",
    "For each species $j$, a vacant host site $\\text{H}_{j}$ can accommodate one lithium leading to a filled host site $(\\text{Li--H})_{j}$. The OCV for this reaction is written as\n",
    "$$ U_j = U_j^0 + \\frac{\\omega_j}{f}\\log\\left(\\frac{X_j - x_j}{x_j}\\right),$$\n",
    "where $f = F/(RT)$, and $R$, $T$, and $F$ are the universal gas constant, temperature in Kelvin, and Faraday’s constant, respectively. Here $X_j$ represents the total fraction of available host sites which can be occupied by species $j$, $x_j$ is the fraction of filled sites occupied by species $j$, $U_j^0$ is a concentration independent standard electrode potential, and the $\\omega_j$ is an unitless parameter that describes the level of disorder of the reaction represented by gallery $j$. \n",
    "\n",
    "The equation for each reaction can be inverted to give \n",
    "$$x_j = \\frac{X_j}{1+\\exp[f(U-U_j^0)/\\omega_j]}.$$\n",
    "The overall electrode state of charge is given by summing the fractional occupancies \n",
    "$$x = \\sum_j x_j = \\sum_j \\frac{X_j}{1+\\exp[f(U-U_j^0)/\\omega_j]},$$\n",
    "which is an explicit closed form expression for the inverse of the OCV. This is opposite to many battery models where one typically gives the OCV as an explicit function of the state of charge (or stoichiometry).\n",
    "\n",
    "At a particle interface with the electrolyte, local equilibrium requires that \n",
    "$$U_j = U(x) \\quad \\forall j.$$"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Kinetics\n",
    "The kinetics of the insertion reaction are given as\n",
    "$$i_j = i_{0,j}[e^{(1-\\alpha_j)f\\eta} - e^{-\\alpha_jf\\eta}], \\qquad i = \\sum_j i_j,$$\n",
    "where $i_j$ is the interfacial current associated with reaction $j$, $\\alpha_j$ is the symmetry factor, $\\eta$ is the overpotential, given by \n",
    "$$ \\eta = \\phi_s - \\phi_e - U(x),$$\n",
    "where $\\phi_s$ and $\\phi_e$ are the solid phase and electrolyte potentials, respectively, and $i_{0,j}$ is the exchange current density of reaction $j$, given by\n",
    "$$i_{0,j} = i_{0,j}^{ref}(x_j)^{\\omega_j\\alpha_j}(X_j-x_j)^{\\omega_j(1-\\alpha_j)}(c_e/c_e^{ref})^{1-\\alpha_j},$$\n",
    "where $c_e$ is the electrolyte concentration."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Solid phase transport\n",
    "Within the MSMR framework, the flux within the particles is expressed in terms of gradient of the chemical potential\n",
    "$$N = -c_{\\text{T}}x\\frac{D}{RT}\\nabla \\mu + x(N+N_{\\text{H}}),$$\n",
    "where $N$ is the flux of lithiated sites, $N_{\\text{H}}$ is the flux of unlithiated sites, $c_{\\text{T}}$ is the total concentration of lithiated and delithiated sites, and $D$ is a diffusion coefficient. Ignoring volumetric expansion during lithiation, the total flux of sites vanishes\n",
    "$$N+N_{\\text{H}}.$$ \n",
    "It can then be shown that \n",
    "$$N = c_{\\text{T}}fDx(1-x)\\frac{\\text{d}U}{\\text{d}x}\\nabla x.$$\n",
    "\n",
    "A mass balance in the solid phase then gives\n",
    "$$\\frac{\\partial x}{\\partial t} = -\\nabla\\cdot\\left(x(1-x)fD\\frac{\\text{d}U}{\\text{d}x}\\nabla x\\right),$$\n",
    "which, for a radially symmetric spherical particle, must be solved subject to the boundary conditions\n",
    "$$N\\big\\vert_{r=0} = 0, \\quad N\\big\\vert_{r=R} = \\frac{i}{F},$$\n",
    "where $R$ is the particle radius. This must be supplemented with a suitable initial condition for the electrode state of charge.\n",
    "\n",
    "Solution of this problem requires evaluate of the function $U(x)$ and the derivative $\\text{d}U/\\text{d}x$, but these functions cannot be explicitly integrated. This problem can be avoided by replacing the dependent variable $x$ with a new dependent variable $U$ subject to the transformation \n",
    "$$x = \\sum_j \\frac{X_j}{1+\\exp[f(U-U_j^0)/\\omega_j]}.$$\n",
    "This gives the following equation for mass balance within the particles\n",
    "$$\\frac{\\text{d}U}{\\text{d}x}\\frac{\\partial U}{\\partial t} = -\\nabla\\cdot\\left(x(1-x)fD\\nabla x\\right),$$\n",
    "\n",
    "which must be solved along with the transformed boundary and initial conditions."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Parameterization of the MSMR model\n",
    "The behaviour of MSMR model is characterised by the parameters:\n",
    "- $X_j$: `host site occupancy fraction (j)`\n",
    "- $U^0_j$: `host site standard potential (j) [V]`\n",
    "- $\\omega_j$: `host site ideality factor (j)`\n",
    "- $\\alpha_j$: `host site charge transfer coefficient (j)`\n",
    "- $i_{0,j}^{ref}$: `host site reference exchange-current density (j) [A.m-2]`\n",
    "\n",
    "Let's take a look at their values in the example parameter set provided in PyBaMM. The thermodynamic parameter values are taken from Verbrugge et al. (2017) and correspond to a graphite negative electrode and NMC positive electrode. The remaining value are based on a parameterization of the LG M50 cell, from Chen et al. (2020).\n",
    "\n",
    "We first load in the MSMR model and specify the number of reactions in each electrode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = pybamm.lithium_ion.MSMR({\"number of MSMR reactions\": (\"6\", \"4\")})"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we can inspect the parameter values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Negative electrode host site occupancy fraction (0) = 0.43336\n",
      "Negative electrode host site standard potential (0) [V] = 0.08843\n",
      "Negative electrode host site ideality factor (0) = 0.08611\n",
      "Negative electrode host site charge transfer coefficient (0) = 0.5\n",
      "Negative electrode host site reference exchange-current density (0) [A.m-2] = 2.7\n",
      "Negative electrode host site occupancy fraction (1) = 0.23963\n",
      "Negative electrode host site standard potential (1) [V] = 0.12799\n",
      "Negative electrode host site ideality factor (1) = 0.08009\n",
      "Negative electrode host site charge transfer coefficient (1) = 0.5\n",
      "Negative electrode host site reference exchange-current density (1) [A.m-2] = 2.7\n",
      "Negative electrode host site occupancy fraction (2) = 0.15018\n",
      "Negative electrode host site standard potential (2) [V] = 0.14331\n",
      "Negative electrode host site ideality factor (2) = 0.72469\n",
      "Negative electrode host site charge transfer coefficient (2) = 0.5\n",
      "Negative electrode host site reference exchange-current density (2) [A.m-2] = 2.7\n",
      "Negative electrode host site occupancy fraction (3) = 0.05462\n",
      "Negative electrode host site standard potential (3) [V] = 0.16984\n",
      "Negative electrode host site ideality factor (3) = 2.53277\n",
      "Negative electrode host site charge transfer coefficient (3) = 0.5\n",
      "Negative electrode host site reference exchange-current density (3) [A.m-2] = 2.7\n",
      "Negative electrode host site occupancy fraction (4) = 0.06744\n",
      "Negative electrode host site standard potential (4) [V] = 0.21446\n",
      "Negative electrode host site ideality factor (4) = 0.0947\n",
      "Negative electrode host site charge transfer coefficient (4) = 0.5\n",
      "Negative electrode host site reference exchange-current density (4) [A.m-2] = 2.7\n",
      "Negative electrode host site occupancy fraction (5) = 0.05476\n",
      "Negative electrode host site standard potential (5) [V] = 0.36325\n",
      "Negative electrode host site ideality factor (5) = 5.97354\n",
      "Negative electrode host site charge transfer coefficient (5) = 0.5\n",
      "Negative electrode host site reference exchange-current density (5) [A.m-2] = 2.7\n",
      "Positive electrode host site occupancy fraction (0) = 0.13442\n",
      "Positive electrode host site standard potential (0) [V] = 3.62274\n",
      "Positive electrode host site ideality factor (0) = 0.9671\n",
      "Positive electrode host site charge transfer coefficient (0) = 0.5\n",
      "Positive electrode host site reference exchange-current density (0) [A.m-2] = 5\n",
      "Positive electrode host site occupancy fraction (1) = 0.3246\n",
      "Positive electrode host site standard potential (1) [V] = 3.72645\n",
      "Positive electrode host site ideality factor (1) = 1.39712\n",
      "Positive electrode host site charge transfer coefficient (1) = 0.5\n",
      "Positive electrode host site reference exchange-current density (1) [A.m-2] = 5\n",
      "Positive electrode host site occupancy fraction (2) = 0.21118\n",
      "Positive electrode host site standard potential (2) [V] = 3.90575\n",
      "Positive electrode host site ideality factor (2) = 3.505\n",
      "Positive electrode host site charge transfer coefficient (2) = 0.5\n",
      "Positive electrode host site reference exchange-current density (2) [A.m-2] = 5\n",
      "Positive electrode host site occupancy fraction (3) = 0.3298\n",
      "Positive electrode host site standard potential (3) [V] = 4.22955\n",
      "Positive electrode host site ideality factor (3) = 5.52757\n",
      "Positive electrode host site charge transfer coefficient (3) = 1\n",
      "Positive electrode host site reference exchange-current density (3) [A.m-2] = 1000000.0\n"
     ]
    }
   ],
   "source": [
    "parameter_values = model.default_parameter_values\n",
    "\n",
    "# Loop over domains\n",
    "for domain in [\"negative\", \"positive\"]:\n",
    "    Electrode = domain.capitalize()\n",
    "    # Loop over reactions\n",
    "    N = int(parameter_values[\"Number of reactions in \" + domain + \" electrode\"])\n",
    "    for i in range(N):\n",
    "        names = [\n",
    "            f\"{Electrode} electrode host site occupancy fraction ({i})\",\n",
    "            f\"{Electrode} electrode host site standard potential ({i}) [V]\",\n",
    "            f\"{Electrode} electrode host site ideality factor ({i})\",\n",
    "            f\"{Electrode} electrode host site charge transfer coefficient ({i})\",\n",
    "            f\"{Electrode} electrode host site reference exchange-current density ({i}) [A.m-2]\",\n",
    "        ]\n",
    "        for name in names:\n",
    "            print(f\"{name} = {parameter_values[name]}\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can plot the functional form of the open-circuit potential $U$, fractional occupancies $x_j$, and exchange current densities $i_{0,j}$ as a function of stoichiometry $x$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# get symbolic parameters\n",
    "param = model.param\n",
    "param_n = param.n.prim\n",
    "param_p = param.p.prim\n",
    "\n",
    "num_reactions_n = int(parameter_values[\"Number of reactions in negative electrode\"])\n",
    "num_reactions_p = int(parameter_values[\"Number of reactions in positive electrode\"])\n",
    "\n",
    "# set up ranges for plotting\n",
    "U_n = pybamm.linspace(0.05, 1.1, 1000)\n",
    "U_p = pybamm.linspace(2.8, 4.4, 1000)\n",
    "\n",
    "# get reference electrolyte concentration and temperature\n",
    "c_e = param.c_e_init\n",
    "T = param.T_init\n",
    "\n",
    "# set up figure\n",
    "fig, ax = plt.subplots(3, 2, figsize=(10, 10))\n",
    "colors = [\"r\", \"g\", \"b\", \"c\", \"m\", \"y\"]\n",
    "\n",
    "# sto vs potential\n",
    "x_n = param_n.x(U_n, T)\n",
    "x_p = param_p.x(U_p, T)\n",
    "ax[0, 0].plot(parameter_values.evaluate(x_n), parameter_values.evaluate(U_n), \"k-\")\n",
    "ax[0, 1].plot(parameter_values.evaluate(x_p), parameter_values.evaluate(U_p), \"k-\")\n",
    "ax[0, 0].set_xlabel(\"x_n\")\n",
    "ax[0, 0].set_ylabel(\"U_n [V]\")\n",
    "ax[0, 1].set_xlabel(\"x_p\")\n",
    "ax[0, 1].set_ylabel(\"U_p [V]\")\n",
    "\n",
    "# fractional occupancy vs potential\n",
    "for i in range(num_reactions_n):\n",
    "    xj = param_n.x_j(U_n, T, i)\n",
    "    ax[1, 0].plot(\n",
    "        parameter_values.evaluate(x_n),\n",
    "        parameter_values.evaluate(xj),\n",
    "        color=colors[i],\n",
    "        label=f\"x_n_{i}\",\n",
    "    )\n",
    "ax[1, 0].set_xlabel(\"x_n\")\n",
    "ax[1, 0].set_ylabel(\"x_n_j\")\n",
    "ax[1, 0].legend()\n",
    "for i in range(num_reactions_p):\n",
    "    xj = param_p.x_j(U_p, T, i)\n",
    "    ax[1, 1].plot(\n",
    "        parameter_values.evaluate(x_p),\n",
    "        parameter_values.evaluate(xj),\n",
    "        color=colors[i],\n",
    "        label=f\"x_p_{i}\",\n",
    "    )\n",
    "ax[1, 1].set_xlabel(\"x_p\")\n",
    "ax[1, 1].set_ylabel(\"x_p_j\")\n",
    "ax[1, 1].legend()\n",
    "\n",
    "# exchange current density vs potential\n",
    "for i in range(num_reactions_n):\n",
    "    xj = param_n.x_j(U_n, T, i)\n",
    "    j0 = param_n.j0_j(c_e, U_n, T, i)\n",
    "    ax[2, 0].plot(\n",
    "        parameter_values.evaluate(x_n),\n",
    "        parameter_values.evaluate(j0),\n",
    "        color=colors[i],\n",
    "        label=f\"j0_n_{i}\",\n",
    "    )\n",
    "ax[2, 0].set_xlabel(\"x_n\")\n",
    "ax[2, 0].set_ylabel(\"j0_n_j [A.m-2]\")\n",
    "ax[2, 0].legend()\n",
    "for i in range(num_reactions_p):\n",
    "    xj = param_p.x_j(U_p, T, i)\n",
    "    j0 = param_p.j0_j(c_e, U_p, T, i)\n",
    "    ax[2, 1].plot(\n",
    "        parameter_values.evaluate(x_p),\n",
    "        parameter_values.evaluate(j0),\n",
    "        color=colors[i],\n",
    "        label=f\"j0_p_{i}\",\n",
    "    )\n",
    "ax[2, 1].set_ylim([0, 0.5])\n",
    "ax[2, 1].set_xlabel(\"x_p\")\n",
    "ax[2, 1].set_ylabel(\"j0_p_j [A.m-2]\")\n",
    "ax[2, 1].legend()\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example solving MSMR using PyBaMM\n",
    "Below we show how to set up and solve a CCCV experiment using the MSMR model in PyBaMM. We already created the model in the previous section, so we can go ahead and define our experiment, before creating and solving a simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/marcberliner/Documents/GitHub/PyBaMM/src/pybamm/simulation.py:120: UserWarning: The default solver changed to IDAKLUSolver after the v25.4.0. release. You can swap back to the previous default by using `pybamm.CasadiSolver()` instead.\n",
      "  self._solver = solver or self._model.default_solver\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<pybamm.solvers.solution.Solution at 0x340466ad0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "experiment = pybamm.Experiment(\n",
    "    [\n",
    "        (\n",
    "            \"Discharge at 1C for 1 hour or until 3 V\",\n",
    "            \"Rest for 1 hour\",\n",
    "            \"Charge at C/3 until 4.2 V\",\n",
    "            \"Hold at 4.2 V until 10 mA\",\n",
    "            \"Rest for 1 hour\",\n",
    "        ),\n",
    "    ],\n",
    ")\n",
    "sim = pybamm.Simulation(model, experiment=experiment)\n",
    "sim.solve()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally we can plot the results. In the MSMR model we can look at both the potential and stoichiometry as a function of position through the electrode and within the particle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fd76c72d10da44409d278ca058cd3fd8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=0.0, description='t', max=6.108346438076672, step=0.06108346438076672)…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<pybamm.plotting.quick_plot.QuickPlot at 0x341db8f10>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim.plot(\n",
    "    [\n",
    "        \"Negative particle stoichiometry\",\n",
    "        \"Positive particle stoichiometry\",\n",
    "        \"X-averaged negative electrode open-circuit potential [V]\",\n",
    "        \"X-averaged positive electrode open-circuit potential [V]\",\n",
    "        \"Negative particle potential [V]\",\n",
    "        \"Positive particle potential [V]\",\n",
    "        \"Current [A]\",\n",
    "        \"Voltage [V]\",\n",
    "    ],\n",
    "    variable_limits=\"tight\",  # make axes tight to plot at each timestep\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also look at the individual reactions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "cfb210d04b62406bbd2d0d9e0cc4e079",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=0.0, description='t', max=6.108346438076672, step=0.06108346438076672)…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<pybamm.plotting.quick_plot.QuickPlot at 0x34192bd90>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xns = [\n",
    "    f\"Average x_n_{i}\" for i in range(num_reactions_n)\n",
    "]  # negative electrode reactions: x_n_0, x_n_1, ..., x_n_5\n",
    "xps = [\n",
    "    f\"Average x_p_{i}\" for i in range(num_reactions_p)\n",
    "]  # positive electrode reactions: x_p_0, x_p_1, ..., x_p_3\n",
    "sim.plot(\n",
    "    [\n",
    "        xns,\n",
    "        xps,\n",
    "        \"Current [A]\",\n",
    "        \"Negative electrode stoichiometry\",\n",
    "        \"Positive electrode stoichiometry\",\n",
    "        \"Voltage [V]\",\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "and plot how they sum to give the electrode stoichiometry "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x347fd41d0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sol = sim.solution\n",
    "time = sol[\"Time [h]\"].data\n",
    "fig, ax = plt.subplots(1, 2, figsize=(8, 4))\n",
    "\n",
    "ax[0].plot(time, sol[\"Average negative particle stoichiometry\"].data, \"k-\", label=\"x_n\")\n",
    "bottom = 0\n",
    "for xn in xns:\n",
    "    top = bottom + sol[xn].data\n",
    "    ax[0].fill_between(time, bottom, top, label=xn[-4:])\n",
    "    bottom = top\n",
    "ax[0].set_xlabel(\"Time [h]\")\n",
    "ax[0].set_ylabel(\"x_n [-]\")\n",
    "ax[0].legend(loc=\"upper center\", bbox_to_anchor=(0.5, -0.15), ncol=3)\n",
    "ax[1].plot(time, sol[\"Average positive particle stoichiometry\"].data, \"k-\", label=\"x_p\")\n",
    "bottom = 0\n",
    "for xp in xps:\n",
    "    top = bottom + sol[xp].data\n",
    "    ax[1].fill_between(time, bottom, top, label=xp[-4:])\n",
    "    bottom = top\n",
    "ax[1].set_xlabel(\"Time [h]\")\n",
    "ax[1].set_ylabel(\"x_p [-]\")\n",
    "ax[1].legend(loc=\"upper center\", bbox_to_anchor=(0.5, -0.15), ncol=3)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "The relevant papers for this notebook are:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] Joel A. E. Andersson, Joris Gillis, Greg Horn, James B. Rawlings, and Moritz Diehl. CasADi – A software framework for nonlinear optimization and optimal control. Mathematical Programming Computation, 11(1):1–36, 2019. doi:10.1007/s12532-018-0139-4.\n",
      "[2] Daniel R Baker and Mark W Verbrugge. Multi-species, multi-reaction model for porous intercalation electrodes: part i. model formulation and a perturbation solution for low-scan-rate, linear-sweep voltammetry of a spinel lithium manganese oxide electrode. Journal of The Electrochemical Society, 165(16):A3952, 2018.\n",
      "[3] Von DAG Bruggeman. Berechnung verschiedener physikalischer konstanten von heterogenen substanzen. i. dielektrizitätskonstanten und leitfähigkeiten der mischkörper aus isotropen substanzen. Annalen der physik, 416(7):636–664, 1935.\n",
      "[4] Chang-Hui Chen, Ferran Brosa Planella, Kieran O'Regan, Dominika Gastol, W. Dhammika Widanage, and Emma Kendrick. Development of Experimental Techniques for Parameterization of Multi-scale Lithium-ion Battery Models. Journal of The Electrochemical Society, 167(8):080534, 2020. doi:10.1149/1945-7111/ab9050.\n",
      "[5] Marc Doyle, Thomas F. Fuller, and John Newman. Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell. Journal of the Electrochemical society, 140(6):1526–1533, 1993. doi:10.1149/1.2221597.\n",
      "[6] Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J. Smith, and others. Array programming with NumPy. Nature, 585(7825):357–362, 2020. doi:10.1038/s41586-020-2649-2.\n",
      "[7] Alan C. Hindmarsh. The PVODE and IDA algorithms. Technical Report, Lawrence Livermore National Lab., CA (US), 2000. doi:10.2172/802599.\n",
      "[8] Alan C. Hindmarsh, Peter N. Brown, Keith E. Grant, Steven L. Lee, Radu Serban, Dan E. Shumaker, and Carol S. Woodward. SUNDIALS: Suite of nonlinear and differential/algebraic equation solvers. ACM Transactions on Mathematical Software (TOMS), 31(3):363–396, 2005. doi:10.1145/1089014.1089020.\n",
      "[9] Valentin Sulzer, Scott G. Marquis, Robert Timms, Martin Robinson, and S. Jon Chapman. Python Battery Mathematical Modelling (PyBaMM). Journal of Open Research Software, 9(1):14, 2021. doi:10.5334/jors.309.\n",
      "[10] Mark Verbrugge, Daniel Baker, Brian Koch, Xingcheng Xiao, and Wentian Gu. Thermodynamic model for substitutional materials: application to lithiated graphite, spinel manganese oxide, iron phosphate, and layered nickel-manganese-cobalt oxide. Journal of The Electrochemical Society, 164(11):E3243, 2017.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "pybamm.print_citations()"
   ]
  }
 ],
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